Mohamed Anas

Software Engineer (SRE & Infrastructure) with over 2.5 years of experience architecting highly available infrastructure. Proven capability in building zero-to-one infrastructure stacks on AWS EKS using Pulumi and managing multi-stage GitOps pipelines. Deeply focused on high-velocity cloud-native engineering standards and seeking a full-time role to leverage expertise in automation and observability.

Founding Team - SRE - Stealth Startup - Remote

(2026-04 - 2026-07)

• Architected and delivered a production-ready, fault-tolerant cloud environment from the ground up for a stealth healthcare platform, establishing the core infrastructure blueprint required to support highly scalable microservices.
• Programmatically provisioned a multi-AZ AWS EKS architecture using Pulumi, standardizing environments across the development lifecycle. Achieved a 100% immutable, codified infrastructure that slashed environment bootstrapping time from days to under 20 minutes
• Spearheaded a GitOps-driven deployment model integrating GitHub Actions and ArgoCD, empowering developers with a self-service release pipeline. Engineered automated, zero-downtime rollouts that accelerated deployment velocity by 3x while completely eliminating manual operational overhead.
• Engineered a proactive observability platform utilizing Prometheus and Grafana, defining critical early-stage SLOs/SLIs. Deployed 4 localized dashboards covering 20 plus core cluster metrics to track resource saturation and queue latencies, ensuring infrastructure bottlenecks were identified and resolved prior to launch.

Site Reliability Engineer (Software Engineer) - Tech Mahindra - Chennai, TN

(2023-12 - 2026-03)

• Spearheaded the infrastructure transformation of legacy monolithic suites to microservices on AWS EKS, utilizing reusable Terraform modules to cut infrastructure provisioning cycles by 45%.
• Optimized application scaling profiles by implementing Kubernetes horizontal auto-scaling (HPA), keeping production platform uptime sustained at 99.9% through severe traffic swells.
• Created robust declarative Jenkins pipelines baked with automated quality gates (SonarQube), capturing 20% of potential regression flaws before deployment into production nodes.
• Centralized platform observability workflows using Prometheus and Grafana, configuring custom alert-routing channels via Alertmanager to compress MTTD by 40%.
• Analyzed compute patterns using AWS Cost Explorer to migrate targeted low-risk application components onto Spot Instances, yielding regular cloud utility savings of $2,000 monthly.

B.E - Electronics and Communication - SNS College of Engineering (2019-06 - 2023-05)